TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is widely used for deep learning and other machine learning applications. This page provides an overview of TensorFlow documentation in English.

Overview

TensorFlow is designed to be flexible and scalable. It allows you to build and deploy machine learning models on various platforms, including CPUs, GPUs, and TPUs.

Features

  • High-Level APIs: TensorFlow provides high-level APIs for building and training models, such as Keras and TensorFlow Estimators.
  • Low-Level APIs: TensorFlow also offers low-level APIs for more control over the computation graph and operations.
  • Scalability: TensorFlow can scale to large datasets and models, making it suitable for both research and production environments.
  • Community Support: TensorFlow has a large and active community, providing extensive documentation, tutorials, and resources.

Getting Started

To get started with TensorFlow, you can follow these steps:

  1. Install TensorFlow
  2. Learn the Basics
  3. Explore Examples

Resources

TensorFlow Logo

Would you like to explore more about TensorFlow? Check out our Advanced TensorFlow Documentation.